{"id":"W2899710779","doi":"10.30797/madencilik.479520","title":"ALTIN CEVHERLERİNİN KARAKTERİZASYONUNDA KULLANILAN MİKRO ANALİTİK YÖNTEMLER","year":2018,"lang":"tr","type":"article","venue":"Bilimsel Madencilik Dergisi","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Scanning electron microscope; Nuclear chemistry; Materials science; Electron microprobe; Chemistry; Analytical Chemistry (journal); Metallurgy; Composite material; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001298048,0.001402862,0.001276321,0.001967318,0.001184638,0.003304418,0.0009201322,0.00165321,0.01037101],"category_scores_gemma":[0.001835501,0.0007935748,0.0012111,0.001507449,0.00130958,0.002427319,0.001232513,0.001843587,0.004107526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033768,"about_ca_system_score_gemma":0.001385768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00319915,"about_ca_topic_score_gemma":0.00419639,"domain_scores_codex":[0.9980026,0.0001960134,0.0001300059,0.0004450929,0.001032211,0.000194013],"domain_scores_gemma":[0.9982172,0.0003650529,0.0002672916,0.0001710076,0.0008856769,0.00009384627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008297844,0.0001736711,0.00666001,0.002570068,0.0001286615,0.001164239,0.000806674,0.002943061,0.839052,0.004515745,0.004525285,0.136631],"study_design_scores_gemma":[0.00003475703,0.0006529452,0.01539697,0.0003103832,0.0002131878,0.002204177,0.001218876,0.008383939,0.8686142,0.003279726,0.09950583,0.0001848831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5205011,0.05393232,0.3363617,0.002978787,0.001550891,0.0009376719,0.003262634,0.004018526,0.07645638],"genre_scores_gemma":[0.7492641,0.02296769,0.1633569,0.001217778,0.0003001495,0.0005593825,0.003483378,0.001010051,0.05784053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01037101,"threshold_uncertainty_score":0.03469443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02270821214458535,"score_gpt":0.2472897826298461,"score_spread":0.2245815704852608,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}